中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
robust image metamorphosis immune from ghost and blur

文献类型:期刊论文

作者Wu Enhua ; Liu Feitong
刊名Visual Computer
出版日期2012
页码40919
ISSN号1782789
英文摘要In this paper, we propose a novel method for the metamorphosis between two different images. By the approach, the transition sequence is generated by stitching two forward and backward warped sequences in a three-dimensional space along transition surface. In contrast to the traditional methods by blending two warped images at each intermediate frame, we continuously warp images on opposite direction without blending until the two warped images match in a three-dimensional space leading to a better transition in quality. Furthermore, for each pixel, we make decision of choosing a given input image best suitable so as to produce plausible in-between images to prevent from ghost and blur. By our scheme, the transition surface is computed by minimizing an energy function in terms of graph-cut optimization. Depending on the transition surface, a warp function is proposed to create a smooth and clear transformation. We demonstrate the advantage of our framework by performing transformation test to various kinds of image couples. © 2012 Springer-Verlag.
收录类别EI
语种英语
公开日期2012-11-12
源URL[http://ir.iscas.ac.cn/handle/311060/14701]  
专题软件研究所_软件所图书馆_期刊论文
推荐引用方式
GB/T 7714
Wu Enhua,Liu Feitong. robust image metamorphosis immune from ghost and blur[J]. Visual Computer,2012:40919.
APA Wu Enhua,&Liu Feitong.(2012).robust image metamorphosis immune from ghost and blur.Visual Computer,40919.
MLA Wu Enhua,et al."robust image metamorphosis immune from ghost and blur".Visual Computer (2012):40919.

入库方式: OAI收割

来源:软件研究所

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